Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“…Herein, the Artificial Intelligence (AI) and Machine Learning concepts are described, and several examples are presented to demonstrate the application of the AI in agriculture. …”
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The Use and Economic Value of the 3K SNP Genomic Test for Calves on Dairy Farms by Albert De Vries, David T. Galligan, John B. Cole

“…The availability of genomic tests is rapidly changing genetics in the dairy industry. AI companies have been using genomics to select AI sires. …”
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The Use and Economic Value of the 3K SNP Genomic Test for Calves on Dairy Farms by Albert De Vries, David T. Galligan, John B. Cole

“…The availability of genomic tests is rapidly changing genetics in the dairy industry. AI companies have been using genomics to select AI sires. …”
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The role of lactylation in tumor growth and cancer progression by Khulood Al-Malsi, Khulood Al-Malsi, Khulood Al-Malsi, Sinan Xie, Sinan Xie, Sinan Xie, Yunshi Cai, Yunshi Cai, Yunshi Cai, Nader Mohammed, Kunlin Xie, Kunlin Xie, Kunlin Xie, Tian Lan, Tian Lan, Tian Lan, Hong Wu, Hong Wu, Hong Wu

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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

“…AI/ML models can use various data sources, such as clinical information, genomic sequences, microbiome insights, and epidemiological data for predicting AMR outbreaks. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…FindingsThe results showed that AI empowerment (including technology roadmap, attitude, and professional expertise) and AI readiness (including awareness, infrastructure, and technical level) affect adopting artificial intelligence integrated with customer relationship management systems. …”
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Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation... by Peranut Chotcomwongse, Paisan Ruamviboonsuk, Chaiwat Karavapitayakul, Koblarp Thongthong, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Malee Triprachanath, Eckachai Lerdpanyawattananukul, Niracha Arjkongharn, Varis Ruamviboonsuk, Nattaporn Vongsa, Pawin Pakaymaskul, Turean Waiwaree, Hathaiphan Ruampunpong, Richa Tiwari, Viroj Tangcharoensathien

“…Implementational outcomes, such as detecting positive cases, agreement between AI and over-reading, and referral adherence were assessed. …”
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Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis by Yaxin Xiong, Yuan Gao, Yucheng Qi, Yingfei Zhi, Jia Xu, Kuo Wang, Qiuyue Yang, Changsong Wang, Mingyan Zhao, Xianglin Meng

“…Conclusion AI has good sensitivity and specificity for predicting ARDS, indicating a high clinical application value. …”
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Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur by Fajar Delli Wihartiko, Sri Nurdiati, Agus Buono, Edi Santosa

“…Dewasa ini teknologi blockchain dan kecerdasan buatan (artificial intelligence/AI) telah diimplementasikan dalam bidang pertanian. …”
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Beyond what was said: Neural computations underlying pragmatic reasoning in referential communication by Shanshan Zhen, Mario Martinez-Saito, Rongjun Yu

“…Our fMRI results showed that Bayesian posterior probability was positively correlated with activity in the ventromedial prefrontal cortex (vmPFC) and ventral striatum and negatively correlated with activity in dorsomedial PFC, anterior insula (AI), and inferior frontal gyrus (IFG). Importantly, individual differences in higher-order reasoning were correlated with stronger activation in IFG and AI and positively modulated the vmPFC functional connectivity with AI. …”
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LLM-driven multimodal target volume contouring in radiation oncology by Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, Jong Chul Ye

“…We demonstrate that the proposed multimodal LLMSeg exhibits markedly improved performance compared to conventional unimodal AI models, particularly exhibiting robust generalization performance and data-efficiency.…”
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Potential Use and Limitation of Artificial Intelligence to Screen Diabetes Mellitus in Clinical Practice: A Literature Review by Aqsha Nur, Defin Yumnanisha, Sydney Tjandra, Adang Bachtiar, Dante Saksono Harbuwono

“…AI models (i.e., machine learning and deep learning) have yielded prediction performances of up to 98% in various diseases. …”
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Automation of historical weather data rescue by Y. Zhang, R. E. Sieber

“…We propose a workflow that uses AI to automate the handwriting transcription process. …”
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Innovative approaches in colorectal cancer screening: advances in detection methods and the role of artificial intelligence by Changwei Duan, Jianqiu Sheng, Xianzong Ma

“…This review paper explored emerging detection methods for early screening of CRC, including gut microbiota, metabolites, genetic markers, and artificial intelligence (AI)-based technologies. Current screening methods have their respective advantages and limitations, particularly in detecting precursors. …”
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Imperative Role of Technology Intervention and Implementation for Automation in the Construction Industry by Amit Srivastava, Sajjaf Jawaid, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

“…Furthermore, edge and fog computing technology encourages us to implement AI at the edge network for analytics at the end of the edge device. …”
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On the coalitional decomposition of parameters of interest by Il Idrissi, Marouane, Bousquet, Nicolas, Gamboa, Fabrice, Iooss, Bertrand, Loubes, Jean-Michel

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Weed Control and Grain Sorghum (Sorghum bicolor) Tolerance to Pyrasulfotole plus Bromoxynil by Dan D. Fromme, Peter A. Dotray, W. James Grichar, Carlos J. Fernandez

“…Early season grain sorghum chlorosis and stunting with pyrasulfotole plus bromoxynil combinations did not affect grain sorghum yields with the exception of pyrasulfotole at 0.03 kg ai/ha plus bromoxynil at 0.26 kg ai/ha plus atrazine at 0.58 kg ai/ha applied early postemergence followed by pyrasulfotole plus bromoxynil applied mid-postemergence which reduced yield at one of two locations in 2008. …”
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Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms by Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka, Muhammad Jehangir

“…AI (artificial intelligence) is a significant technological advancement that has everyone buzzing about its incredible potential. …”
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Robotization of Miniature-Scale Radio-Controlled Excavator: A New Medium for Construction- Specific DNN Data Generation by Seyedeh Fatemeh Saffari, Daeho Kim, Byungjoo Choi

“…Digital management of excavators has seen limited progress due to challenges in artificial intelligence (AI) training. The AI required for digital twinning of excavators necessitates a large volume of diverse imagery data, currently scarce in the construction domain. …”
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Biologically Inspired Spatial–Temporal Perceiving Strategies for Spiking Neural Network by Yu Zheng, Jingfeng Xue, Jing Liu, Yanjun Zhang

“…However, current mainstream DNN (deep learning neural network)-based AI (artificial intelligence) is a ‘black box’. We cannot interpret or understand how the decision is made by these AIs. …”
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